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Duration 7 hours
Course Outline
Introduction to Prompt Engineering
- Defining prompt engineering and its importance
- Common use cases and their effect on workflow efficiency
- Insights into typical model behaviors
Fundamentals of High-Quality Prompts
- Clarity, context, constraints, and illustrative examples
- Managing output length, structure, and tone
- Identifying common mistakes and strategies to prevent them
Established Prompt Patterns and Templates
- Instructional prompts and role-based prompting
- Chain-of-thought techniques and sequential prompting
- Few-shot learning and template replication
Practical Prompting Exercises
- Constructing prompts for text summarization and rewriting
- Developing prompts for categorization and data retrieval
- Real-time iteration: adjusting prompts based on generated outputs
Assessing and Enhancing Prompts
- Indicators and methods for evaluating prompt effectiveness
- Utilizing tests and boundary scenarios for validation
- Managing prompt versions and documenting modifications
Safety, Bias, and Ethical Usage
- Detecting and addressing biased or hazardous outputs
- Implementing basic safeguards and content restrictions
- Determining when human oversight is required
Conclusion, Resources & Future Learning
- Quick-access templates and summary guides
- Suggested readings and professional community links
- Recommendations for ongoing practice and skill development
Requirements
- Experience with web-based AI chat platforms
- Foundational knowledge of natural language principles
- Comfort with iterative problem-solving approaches
Target Audience
- Individuals new to the field seeking effective communication strategies with AI models
- Product managers, content creators, and analysts investigating AI utilities
- Professionals responsible for generating or assessing AI-driven content
Testimonials (2)
The interactive style, the exercises
Tamas Tutuntzisz
Course - Introduction to Prompt Engineering
Since we had a Roche internal AI Training (6 lections), the presented majority content was a good sum-up, however, personally I did learn something new in this training session, which was to counter back the prompt, so the AI program has to ask you about possible questions regarding to this specific topic.
